Medical Decision Making
Medical decisions regarding diagnosis, prognosis, or the specific treatment process of a patient are usually subject to stochastic uncertainty. For example, polymerase chain reaction (PCR) tests for the diagnosis of SARS-CoV-2 infection are considered the gold standard, but even here there is a certain probability of misdiagnosis. In practice, therefore, medical professionals use individual integrated heuristic decision-making processes to make decisions, in addition to the multitude of medical methods based on their experience. The Chair of Health Care Operations/Health Information Management tries to support the decision making of the physician or the health care provider in different areas with appropriate mathematical-statistical methods like machine learning algorithms, classical prediction methods, or simulation models. For example, machine learning models based on standard laboratory parameters are used to predict a corona diagnosis as quickly as possible.
The Chair of Health Care Operations is involved in the field of Medical Decision Making not only, but especially in Covid-19 research. Please visit our Covid-19 Research webpages for an overview of research projects and more information.